code: def scatter_update(inputs, indices, updates):
      indices = np.array(indices)
      indices = np.transpose(indices)
      inputs[tuple(indices)] = updates
      return inputs
  
imports: import numpy
  import tree
  from keras.backend.common import KerasVariable
  from keras.backend.common import standardize_dtype
  from keras.backend.common.dtypes import result_type
  from keras.backend.common.keras_tensor import KerasTensor
  from keras.backend.common.stateless_scope import StatelessScope
  from keras.utils.nest import pack_sequence_as
label_desc: Use image node_id 10 for calling a global function with example usage: scatter_update(inputs, indices, updates) and returns: inputs